Market Factors Associated with Comprehensive Behavioral Health Crisis Care Availability: A Resource Dependence Theory Study.

Behavioral health crisis care (BHCC) is a care delivery model for individuals experiencing acute distress related to a mental health or substance use disorder. We examined market factors associated with comprehensive BHCC availability using 2022 data on mental health treatment facilities (n = 9385) obtained from the Substance Abuse and Mental Health Services Administration. We aggregated facility-level data by county (n = 3142) and merged with county-level market factors. Logistic regression models were used to examine the adjusted associations between market factors and BHCC availability. We found that 468 (14.9%) counties had at least one mental health treatment facility offering comprehensive BHCC services. Specifically, counties with more mental health providers (Adjusted Odds Ratio = 2.26, Confidence Interval = 1.32-3.86) and metropolitan counties (AOR = 3.26, CI = 1.95-5.43) had higher odds of having a comprehensive BHCC facility. Our findings highlight the importance of developing the mental health workforce to increase BHCC availability and a need to address disparities in rural counties.

State Policies Associated with Availability of Mobile Crisis Teams.

Mobile crisis teams are comprised of multidisciplinary mental health professionals that respond to mental health crisis calls in community settings. This study identified counties with mobile crisis teams and examined state policies associated with mobile crisis teams. Descriptive statistics and geographic information system software were used to quantify and map counties with mobile crisis teams in the United States. Relationships between state policies and mobile crisis teams were examined using an adjusted logistic regression model, controlling for county characteristics and accounting for clustering by state. Approximately 40% (n = 1,245) of all counties in the US have at least one mobile crisis team. Counties in states with legislation in place to fund the 988 Suicide and Crisis Lifeline were more likely to have a mobile crisis team (Adjusted Odds Ratio (AOR): 2.0; Confidence Interval (CI): 1.23-3.26), whereas counties in states with 1115 waivers restricting Medicaid benefits were less likely to have a mobile crisis team (AOR: 0.43; CI: 0.21-0.86). Additionally, counties with the largest population were more likely to have a mobile crisis team (AOR: 2.20; CI:1.43-3.38) than counties with the smallest population. Having a mobile crisis teams was positively associated with legislation to fund 988. Legislation that encourages expansion of existing crisis care services, specifically funding aimed at mobile crisis teams, may help increase availability of services for people who are experiencing a mental health crisis in the community.

Health-related social needs information in the emergency department: clinician and patient perspectives on availability and use.

BACKGROUND: Patient health-related social needs (HRSN) complicate care and drive poor outcomes in emergency department (ED) settings. This study sought to understand what HRSN information is available to ED physicians and staff, and how HRSN-related clinical actions may or may not align with patient expectations. METHODS: We conducted a qualitative study using in-depth semi-structured interviews guided by HRSN literature, the 5 Rights of Clinical Decision Support (CDS) framework, and the Contextual Information Model. We asked ED providers, ED staff, and ED patients from one health system in the mid-Western United Stated about HRSN information availability during an ED encounter, HRSN data collection, and HRSN data use. Interviews were recorded, transcribed, and analyzed using modified thematic approach. RESULTS: We conducted 24 interviews (8 per group: ED providers, ED staff, and ED patients) from December 2022 to May 2023. We identified three themes: (1) Availability: ED providers and staff reported that HRSNs information is inconsistently available. The availability of HRSN data is influenced by patient willingness to disclose it during an encounter. (2) Collection: ED providers and staff preferred and predominantly utilized direct conversation with patients to collect HRSNs, despite other methods being available to them (e.g., chart review, screening questionnaires). Patients' disclosure preferences were based on modality and team member. (3) Use: Patients wanted to be connected to relevant resources to address their HRSNs. Providers and staff altered clinical care to account for or accommodate HRSNs. System-level challenges (e.g., limited resources) limited provider and staff ability to address patients HRSNs. CONCLUSIONS: In the ED, HRSNs information was inconsistently available, collected, or disclosed. Patients and ED providers and staff differed in their perspectives on how HSRNs should be collected and acted upon. Accounting for such difference in clinical and administrative decisions will be critical for patient acceptance and effective usage of HSRN information.

Operationalizing person-centered care in residential substance use disorder treatment.

INTRODUCTION: Person-centered care (PCC) is an ethical imperative with eight domains, but operation of some PCC domains in substance use disorder (SUD) treatment has been underexplored. OBJECTIVE: We sought to identify strategies for operationalizing eight PCC domains in SUD treatment facilities and themes across these strategies. METHODS: We recruited 36 clients and staff from a large publicly funded behavioral health system for individual, semi-structured qualitative interviews. Interviews explored preferences and care experiences for each PCC domain. We analyzed data using iterative categorization, identifying specific operationalization strategies and themes across operationalization strategies within each domain. RESULTS: PCC operationalization themes for residential SUD treatment included addressing social vulnerability of clients (e.g., through assistance with housing and navigation of criminal/legal systems), involving peer support specialists (e.g., to provide emotional support and aid transition out of care), supporting the client's family throughout treatment (e.g., providing progress updates; increasing visitation opportunities in residential treatment), and facilitating patient choice within each domain (e.g., treatment type; housing type; roommate preferences in residential treatment.). DISCUSSION & CONCLUSION: Some PCC operationalization strategies are unique to SUD treatment. Several PCC operationalization strategies applied to multiple domains, suggesting conceptual overlap between domains.

Examining primary care provider experiences with using a clinical decision support tool for pain management.

Objective: To evaluate primary care provider (PCP) experiences using a clinical decision support (CDS) tool over 16 months following a user-centered design process and implementation. Materials and Methods: We conducted a qualitative evaluation of the Chronic Pain OneSheet (OneSheet), a chronic pain CDS tool. OneSheet provides pain- and opioid-related risks, benefits, and treatment information for patients with chronic pain to PCPs. Using the 5 Rights of CDS framework, we conducted and analyzed semi-structured interviews with 19 PCPs across 2 academic health systems. Results: PCPs stated that OneSheet mostly contained the right information required to treat patients with chronic pain and was correctly located in the electronic health record. PCPs used OneSheet for distinct subgroups of patients with chronic pain, including patients prescribed opioids, with poorly controlled pain, or new to a provider or clinic. PCPs reported variable workflow integration and selective use of certain OneSheet features driven by their preferences and patient population. PCPs recommended broadening OneSheet access to clinical staff and patients for data entry to address clinician time constraints. Discussion: Differences in patient subpopulations and workflow preferences had an outsized effect on CDS tool use even when the CDS contained the right information identified in a user-centered design process. Conclusions: To increase adoption and use, CDS design and implementation processes may benefit from increased tailoring that accommodates variation and dynamics among patients, visits, and providers.

Non-response Bias in Social Risk Factor Screening Among Adult Emergency Department Patients.

Healthcare organizations increasingly use screening questionnaires to assess patients' social factors, but non-response may contribute to selection bias. This study assessed differences between respondents and those refusing participation in a social factor screening. We used a cross-sectional approach with logistic regression models to measure the association between subject characteristics and social factor screening questionnaire participation. The study subjects were patients from a mid-western state safety-net hospital's emergency department. Subjects' inclusion criteria were: (1) ≥ 18 years old, (2) spoke English or Spanish, and (3) able to complete a self-administered questionnaire. We classified subjects that consented and answered the screening questionnaire in full as respondents. All others were non-respondents. Using natural language processing, we linked all subjects' participation status to demographic characteristics, clinical data, an area-level deprivation measure, and social risk factors extracted from clinical notes. We found that nearly 6 out of every 10 subjects approached (59.9%), consented, and completed the questionnaire. Subjects with prior documentation of financial insecurity were 22% less likely to respond to the screening questionnaire (marginal effect = -22.40; 95% confidence interval (CI) = -41.16, -3.63; p = 0.019). No other factors were significantly associated with response. This study uniquely contributes to the growing social determinants of health literature by confirming that selection bias may exist within social factor screening practices and research studies.

Key person-centered care domains for residential substance use disorder treatment facilities: former clients' perspectives.

BACKGROUND: While person-centered care (PCC) includes multiple domains, residential substance use disorder (SUD) treatment clients may value certain domains over others. We sought to identify the PCC domains most valued by former residential SUD treatment clients. We also sought to explore conceptual distinctions between potential theoretical PCC subdomains. METHODS: We distributed an online survey via social media to a national convenience sample of former residential SUD treatment clients. Respondents were presented with ten PCC domains in an online survey: (a) access to evidence-based care; (b) integration of care; (c) diversity/respect for other cultures; (d) individualization of care; (e) emotional support; (f) family involvement in treatment; (g) transitional services; (h) aftercare; (i) physical comfort; and (j) information provision. Respondents were asked to select up to two domains they deemed most important to their residential SUD treatment experience. We used descriptive statistics to identify response frequencies and logistic regression to predict relationships between selected domains and respondents' race, gender, relationship status, parenting status, and housing stability. RESULTS: Our final sample included 435 former residential SUD treatment clients. Diversity and respect for different cultures was the most frequently selected domain (29%), followed by integration of care (26%), emotional support (26%), and individualization of care (26%). Provision of information was the least frequently chosen domain (3%). Race and ethnicity were not predictive of selecting respect for diversity. Also, parental status, relationship status and gender were not predictive of selecting family integration. Employment and housing status were not predictive of selecting transitional services. CONCLUSIONS: While residential SUD treatment facilities should seek to implement PCC across all domains, our results suggest facilities should prioritize (a) operationalizing diversity, (b) integration of care, and (c) emotional support. Significant heterogeneity exists regarding PCC domains deemed most important to clients. PCC domains valued by clients cannot be easily predicted based on client demographics.

The Patient Experience of Adolescents With Traumatic Injuries: Recommendations for Improvement.

GOAL: Positive patient experience is associated with less healthcare utilization, better treatment adherence, increased likelihood of returning to the same hospital, and fewer complaints. However, hospitals have been able to collect few insights into the experiences of pediatric patients due to age limitations. As an exception to that reality, adolescents (aged 12-20 years) are able to share their experiences and recommend improvements, yet little is known about their hospital experiences with traumatic injuries. We examined the patient experience of adolescents with traumatic injuries and collected their recommendations for improving care. METHODS: We conducted 28 semistructured interviews with English-speaking adolescents hospitalized at two trauma Level 1 hospitals (pediatric and adult) for physical injuries from July 2018 to June 2021. Interviews were transcribed and analyzed using modified thematic analysis. PRINCIPAL FINDINGS: The patients expressed three basic desires: (1) autonomy and active involvement in their care, (2) human connections with their clinicians, and (3) minimal discomfort. Study participants provided actionable recommendations for improving the patient experience for adolescents with traumatic injuries. PRACTICAL APPLICATIONS: Hospital administrators and clinicians can improve the patient experience for adolescents in their care by sharing information, expectations, and goals with them. Hospital administrators can also empower the clinical staff to connect with adolescents with traumatic injuries on a personal level.

Adoption of Best Practices in Behavioral Health Crisis Care by Mental Health Treatment Facilities.

OBJECTIVE: The authors aimed to examine adoption of behavioral health crisis care (BHCC) services included in the Substance Abuse and Mental Health Services Administration's (SAMHSA's) best practices guidelines. METHODS: Secondary data from SAMHSA's Behavioral Health Treatment Services Locator in 2022 were used. BHCC best practices were measured on a summated scale capturing whether a mental health treatment facility (N=9,385) adopted BHCC best practices, including provision of these services to all age groups: emergency psychiatric walk-in services, crisis intervention teams, onsite stabilization, mobile or offsite crisis responses, suicide prevention, and peer support. Descriptive statistics were used to examine organizational characteristics (such as facility operation, type, geographic area, license, and payment methods) of mental health treatment facilities nationwide, and a map was created to show locations of best practices BHCC facilities. Logistic regressions were performed to identify facilities' organizational characteristics associated with adopting BHCC best practices. RESULTS: Only 6.0% (N=564) of mental health treatment facilities fully adopted BHCC best practices. Suicide prevention was the most common BHCC service, offered by 69.8% (N=6,554) of the facilities. A mobile or offsite crisis response service was the least common, adopted by 22.4% (N=2,101). Higher odds of adopting BHCC best practices were significantly associated with public ownership (adjusted OR [AOR]=1.95), accepting self-pay (AOR=3.18), accepting Medicare (AOR=2.68), and receiving any grant funding (AOR=2.45). CONCLUSIONS: Despite SAMHSA guidelines recommending comprehensive BHCC services, a fraction of facilities have fully adopted BHCC best practices. Efforts are needed to facilitate widespread uptake of BHCC best practices nationwide.

Unmet mental health need and subsequent substance use in individuals with a history of depression: Are there differences between metro and nonmetro areas?

BACKGROUND AND OBJECTIVES: More than nine million U.S. adults have a co-occurring mental health and substance use disorder. The self-medication hypothesis suggests that individuals with unmet need may alleviate the symptoms of their mental illness by using alcohol or drugs. We examine the relationship between unmet mental health need and subsequent substance use among individuals with a history of depression as well as differences in metro and nonmetro areas. METHODS: We used repeated cross-sectional data from the National Survey on Drug Use and Health (NSDUH), 2015-2018 after identifying individuals with depression in the past year (n = 12,211). We used logistic regressions with interaction terms to examine the association between unmet need for mental health care and substance use by geographic location. RESULTS: Unmet mental health need was associated with increased use of marijuana (odds ratio [OR] = 1.32, 95% confidence interval [CI]: 1.08-1.64), illicit drugs (OR = 1.75, 95% CI: 1.19-2.58), and prescription drugs (OR = 1.89, 95% CI: 1.19-3.00) among individuals with depression, which did not vary by geographic location. Unmet need was not associated with increased heavy alcohol drinking (OR = 0.87, 95% CI: 0.60-1.26). DISCUSSION AND CONCLUSIONS: No differences in substance usage between metro and nonmetro populations were observed for those with an unmet need for mental health care. We found support for the self-medication hypothesis among individuals with depression with respect to alcohol. SCIENTIFIC SIGNIFICANCE: We examine whether individuals with depression and unmet care needs are more likely to self-medicate with substances including prescription drugs. Due to higher unmeet needs in nonmetro areas, we examine whether the likelihood of self-medication differs in metro and nonmetro areas.

Recent tapering from long-term opioid therapy and odds of opioid-related hospital use.

PURPOSE: The number of patients tapered from long-term opioid therapy (LTOT) has increased in recent years in the United States. Some patients tapered from LTOT report improved quality of life, while others face increased risks of opioid-related hospital use. Research has not yet established how the risk of opioid-related hospital use changes across LTOT dose and subsequent tapering. Our objective was to examine associations between recent tapering from LTOT with odds of opioid-related hospital use. METHODS: Case-crossover design using 2014-2018 health information exchange data from Indiana. We defined opioid-related hospital use as hospitalizations, and emergency department (ED) visits for a drug overdose, opioid abuse, and dependence. We defined tapering as a 15% or greater dose reduction following at least 3 months of continuous opioid therapy of 50 morphine milligram equivalents (MME)/day or more. We used conditional logistic regression to estimate odds ratios (OR) with 95% confidence intervals (CI). RESULTS: Recent tapering from LTOT was associated with increased odds of opioid-related hospital use (OR: 1.50, 95%CI: 1.34-1.63), ED visit (OR: 1.52; 95%CI: 1.35-1.72), and inpatient hospitalization (OR: 1.40; 95%CI: 1.20-1.65). We found no evidence of heterogeneity of the effect of tapering on opioid-related hospital use by gender, age, and race. Recent tapering among patients on a high baseline dose (>300 MME) was associated with increased odds of opioid-related hospital use (OR: 2.95, 95% CI: 2.12-4.11, p < 0.001) compared to patients on a lower baseline doses. CONCLUSIONS: Recent tapering from LTOT is associated with increased odds of opioid-related hospital use.

Measuring rurality in health services research: a scoping review.

PURPOSE: This study is a scoping review of the different methods used to measure rurality in the health services research (HSR) literature. METHODS: We identified peer-reviewed empirical studies from 2010-2020 from seven leading HSR journals, including the Journal of Rural Health, that used any definition to measure rurality as a part of their analysis. From each study, we identified the geographic unit (e.g., county, zip code) and definition (e.g., Rural Urban Continuum Codes, Rural Urban Commuting Areas) used to classify categories of rurality. We analyzed whether geographic units and definitions used to classify rurality differed by focus area of studies, including costs, quality, and access to care. Lastly, we examined the number of rural categories used by authors to assess rural areas. FINDINGS: In 103 included studies, five different geographic units and 11 definitions were used to measure rurality. The most common geographic units used to measure rurality were county (n = 59, 57%), which was used most frequently in studies examining cost (n = 12, 75%) and access (n = 33, 57.9%). Rural Urban Commuting Area codes were the most common definition used to measure rurality for studies examining access (n = 13, 22.8%) and quality (n = 10, 44%). The majority of included studies made rural versus urban comparisons (n = 82, 80%) as opposed to focusing on rural populations only (n = 21, 20%). Among studies that compared rural and urban populations, most studies used only one category to identify rural locations (n = 49 of 82 studies, 60%). CONCLUSION: Geographic units and definitions to determine rurality were used inconsistently within and across studies with an HSR focus. This finding may affect how health disparities by rural location are determined and thus how resources and federal funds are allocated. Future research should focus on developing a standardized system to determine under what circumstances researchers should use different geographic units and methods to determine rurality by HSR focus area.

Assessing the use of a clinical decision support tool for pain management in primary care.

Objective: Given time constraints, poorly organized information, and complex patients, primary care providers (PCPs) can benefit from clinical decision support (CDS) tools that aggregate and synthesize problem-specific patient information. First, this article describes the design and functionality of a CDS tool for chronic noncancer pain in primary care. Second, we report on the retrospective analysis of real-world usage of the tool in the context of a pragmatic trial. Materials and methods: The tool known as OneSheet was developed using user-centered principles and built in the Epic electronic health record (EHR) of 2 health systems. For each relevant patient, OneSheet presents pertinent information in a single EHR view to assist PCPs in completing guideline-recommended opioid risk mitigation tasks, review previous and current patient treatments, view patient-reported pain, physical function, and pain-related goals. Results: Overall, 69 PCPs accessed OneSheet 2411 times (since November 2020). PCP use of OneSheet varied significantly by provider and was highly skewed (site 1: median accesses per provider: 17 [interquartile range (IQR) 9-32]; site 2: median: 8 [IQR 5-16]). Seven "power users" accounted for 70% of the overall access instances across both sites. OneSheet has been accessed an average of 20 times weekly between the 2 sites. Discussion: Modest OneSheet use was observed relative to the number of eligible patients seen with chronic pain. Conclusions: Organizations implementing CDS tools are likely to see considerable provider-level variation in usage, suggesting that CDS tools may vary in their utility across PCPs, even for the same condition, because of differences in provider and care team workflows.

Inpatient opioid receipt and care experiences for vaginal delivery.

OBJECTIVES: To examine the relationship between care experiences and inpatient opioid receipt during and after delivery for women hospitalized for vaginal delivery (VD). STUDY DESIGN: We used a pooled cross-sectional design with inverse probability weighting to examine the association between inpatient opioid receipt and care experiences of women hospitalized for VD at a single health care system in a Midwestern state. We used 4 Hospital Consumer Assessment of Healthcare Providers and Systems scores (2 pain care items and 2 global items) as measures of care experiences of women hospitalized for VD. METHODS: We used 4 inverse probability-weighted logit regressions to estimate the relationship between inpatient opioid receipt and each patient care experience measure. In supplementary analyses, we used the same inverse probability-weighted methods to estimate the relationship between receipt of opioids and patient care experience measures in 3 patient subgroups based on mean patient-reported pain score during hospitalization (no pain, mild pain, moderate pain). RESULTS: We found no relationship between inpatient opioid receipt and inpatient pain care experiences. As an exception, we found that women hospitalized for VD were 5 (95% CI, 2-8) percentage points more likely to rate the hospital as 10 ("the best hospital possible") during hospitalizations in which an opioid was received. We also found higher overall ratings of the hospital among hospitalized women who reported mild pain if they received an opioid (marginal effects = 0.05; 95% CI, 2-8 percentage points). CONCLUSIONS: Receipt of opioids may not be a significant determinant of the pain-specific patient care experiences of women hospitalized for VD.

Evaluating a Prototype Clinical Decision Support Tool for Chronic Pain Treatment in Primary Care.

OBJECTIVES: The Chronic Pain Treatment Tracker (Tx Tracker) is a prototype decision support tool to aid primary care clinicians when caring for patients with chronic noncancer pain. This study evaluated clinicians' perceived utility of Tx Tracker in meeting information needs and identifying treatment options, and preferences for visual design. METHODS: We conducted 12 semi-structured interviews with primary care clinicians from four health systems in Indiana. The interviews were conducted in two waves, with prototype and interview guide revisions after the first six interviews. The interviews included exploration of Tx Tracker using a think-aloud approach and a clinical scenario. Clinicians were presented with a patient scenario and asked to use Tx Tracker to make a treatment recommendation. Last, participants answered several evaluation questions. Detailed field notes were collected, coded, and thematically analyzed by four analysts. RESULTS: We identified several themes: the need for clinicians to be presented with a comprehensive patient history, the usefulness of Tx Tracker in patient discussions about treatment planning, potential usefulness of Tx Tracker for patients with high uncertainty or risk, potential usefulness of Tx Tracker in aggregating scattered information, variability in expectations about workflows, skepticism about underlying electronic health record data quality, interest in using Tx Tracker to annotate or update information, interest in using Tx Tracker to translate information to clinical action, desire for interface with visual cues for risks, warnings, or treatment options, and desire for interactive functionality. CONCLUSION: Tools like Tx Tracker, by aggregating key information about past, current, and potential future treatments, may help clinicians collaborate with their patients in choosing the best pain treatments. Still, the use and usefulness of Tx Tracker likely relies on continued improvement of its functionality, accurate and complete underlying data, and tailored integration with varying workflows, care team roles, and user preferences.

Patient Activation of Persons With Opioid Use Disorder in Intensive Outpatient Treatment.

BACKGROUND: High patient activation is associated with a variety of positive health outcomes. Although increasing patient activation in persons with opioid use disorder (OUD) in intensive outpatient treatment (IOT) programs may increase engagement and improve outcomes, little is known about how patient activation is manifested in these programs. AIMS: To describe types of instances in which persons play an active role in their IOT or show self-determination in their recovery generally (patient activation) and types of instances in which they play a passive role in their IOT or have recovery directed by others (patient nonactivation). METHODS: A qualitative descriptive study using data from a larger grounded theory study was conducted. Interviews were completed with 14 persons with OUD who attended an IOT program within a large health care system in the Midwest. Content analysis was used to create a typology of instances of patient activation or nonactivation in participants' IOT experiences. RESULTS: Six types of instances were identified: (1) making and enacting one's own treatment decisions, (2) actively collaborating with staff, (3) self-determining one's disclosure in groups, (4) making a commitment to treatment, (5) taking responsibility for one's recovery, and (6) taking actions to avoid return to use. CONCLUSIONS: Patient activation is multidimensional and plays a salient role in IOT experiences. IOT staff should engage patients as active participants in their treatment and encourage mutual goal-setting and shared-decision but should be aware that some approaches used too early in treatment may impede recovery.

Using prescription opioids throughout a traumatic injury recovery: A qualitative exploratory study of adolescents in a Midwestern state.

BACKGROUND: Injury is one of the most common reasons adolescents are prescribed opioids. Little is known about adolescent experiences who used prescription opioids throughout their recovery from traumatic injury. METHODS: We used a qualitative exploratory study design nested within a longitudinal cohort study conducted at two trauma hospitals in the United States. We conducted semi-structured telephone interviews with adolescents (n = 28) aged from 12 to 20 years at the time of their hospital admission for injury. We used purposive sampling to gather a broad range of experiences from the longitudinal patient cohort. We conducted a modified thematic analysis of transcribed interviews. RESULTS: Adolescents reported a wide range of efficacy with which prescription opioids controlled their pain during the injury recovery and numerous opioid-related side effects. A desire for relief from acute pain caused by the injury was the most common driver for using opioids in the hospital. At home, adolescents' decisions to use opioids were influenced by family history of addiction, awareness of harms associated with opioids, and desire to challenge themselves. Adolescents reported closely adhering to a prescribed regimen or using fewer opioids than prescribed while recovering at home. Finally, adolescents reported considerable variability in parental involvement in prescription opioid use, ranging from giving adolescents unrestricted access to prescription opioids to complete parental discretion and administration upon request. CONCLUSIONS: Adolescents had diverse experiences with prescription opioids during recovery from traumatic injury. Educational interventions that focus on the appropriate use of opioids to address pain care needs among adolescents with traumatic injuries are urgently needed.

Evaluation of electronic recruitment efforts of primary care providers as research subjects during the COVID-19 pandemic.

BACKGROUND: Recruiting healthcare providers as research subjects often rely on in-person recruitment strategies. Little is known about recruiting provider participants via electronic recruitment methods. In this study, conducted during the COVID-19 pandemic, we describe and evaluate a primarily electronic approach to recruiting primary care providers (PCPs) as subjects in a pragmatic randomized controlled trial (RCT) of a decision support intervention. METHODS: We adapted an existing framework for healthcare provider research recruitment, employing an electronic consent form and a mix of brief synchronous video presentations, email, and phone calls to recruit PCPs into the RCT. To evaluate the success of each electronic strategy, we estimated the number of consented PCPs associated with each strategy, the number of days to recruit each PCP and recruitment costs. RESULTS: We recruited 45 of 63 eligible PCPs practicing at ten primary care clinic locations over 55 days. On average, it took 17 business days to recruit a PCP (range 0-48) and required three attempts (range 1-7). Email communication from the clinic leaders led to the most successful recruitments, followed by brief synchronous video presentations at regularly scheduled clinic meetings. We spent approximately $89 per recruited PCP. We faced challenges of low email responsiveness and limited opportunities to forge relationships. CONCLUSION: PCPs can be efficiently recruited at low costs as research subjects using primarily electronic communications, even during a time of high workload and stress. Electronic peer leader outreach and synchronous video presentations may be particularly useful recruitment strategies. TRIAL REGISTRATION: ClinicalTrials.gov , NCT04295135 . Registered 04 March 2020.

The Impact of Narrow and Tiered Networks on Costs, Access, Quality, and Patient Steering: A Systematic Review.

Health insurers use narrow and tiered networks to lower costs by contracting with, or favoring, selected providers. Little is known about the contemporary effects of narrow or tiered networks on key metrics. The purpose of this systematic review was to synthesize the evidence on how narrow and tiered networks impact cost, access, quality, and patient steering. We searched PubMed, MEDLINE, and Cochrane Central Register of Controlled Trials databases for articles published from January 2000 to June 2020. Both narrow and tiered networks are associated with reduced overall health care costs for most cost-related measures. Evidence pertaining to access to care and quality measures were more limited to a narrow set of outcomes or were weak in internal validity, but generally concluded no systematic adverse effects on narrow or tiered networks. Narrow and tiered networks appear to reduce costs without affecting some quality measures. More research on quality outcomes is warranted.